Evidence map›Paper›PMID 31127724›Full record

ArticleJMIR public health and surveillance2019

Continuous Glucose Monitoring in the Real World Using Photosurveillance of #Dexcom on Instagram: Exploratory Mixed Methods Study.

Michelle L Litchman, Sarah E Wawrzynski, Whitney S Woodruff, Joseph B Arrington, Quynh C Nguyen, Perry M Gee

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Practical Aspects and Exercise Safety Benefits of Automated Insulin Delivery Systems in Type 1 Diabetes.Diabetes spectrum : a publication of the American Diabetes Association · 2023
    Article
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Michelle L LitchmanCollege of Nursing, University of Utah, Salt Lake City, UT, United States.ORCID http://orcid.org/0000-0002-8928-5748
Sarah E WawrzynskiCollege of Nursing, University of Utah, Salt Lake City, UT, United States.ORCID http://orcid.org/0000-0003-2756-2583
Whitney S WoodruffCollege of Nursing, University of Utah, Salt Lake City, UT, United States.ORCID http://orcid.org/0000-0002-6023-2298
Joseph B ArringtonDepartment of Biology, University of Utah, Salt Lake City, UT, United States.ORCID http://orcid.org/0000-0002-5449-5016
Quynh C NguyenDepartment of Epidemiology and Biostatistics, School of Public Health, University of Maryland, College Park, MD, United States.ORCID http://orcid.org/0000-0003-4745-6681
Perry M GeeCollege of Nursing, University of Utah, Salt Lake City, UT, United States.ORCID http://orcid.org/0000-0002-3107-2715

Funding

Interdisciplinary Training in Cancer, Caregiving and End-of-Life CareT32NR013456 · NINR · UNIVERSITY OF UTAH · PI ELLINGTON, LEE A, MOONEY, KATHLEEN H · 2013 to 2022
$3.4M
6 · The paper itself

Abstract

backgroundIndividuals with diabetes are using social media as a method to share and gather information about their health via the diabetes online community. Infoveillance is one methodological approach to examine health care trends. However, infoveillance, while very effective in identifying many real-world health trends, may miss opportunities that use photographs as primary sources for data. We propose a new methodology, photosurveillance, in which photographs are analyzed to examine real-world trends.

objectiveThe purpose of this research is to (1) assess the use of photosurveillance as a research method to examine real-world trends in diabetes and (2) report on real-world use of continuous glucose monitoring (CGM) on Instagram.

methodsThis exploratory mixed methods study examined all photographs posted on Instagram that were identified with the hashtag #dexcom over a 3-month period-December 2016 to February 2017. Photographs were coded by CGM location on the body. Original posts and corresponding comments were textually coded for length of CGM device wear and CGM failure and were analyzed for emerging themes.

resultsA total of 2923 photographs were manually screened; 12.08% (353/2923) depicted a photograph with a CGM site location. The majority (225/353, 63.7%) of the photographs showed a CGM site in an off-label location, while 26.2% (92/353) were in an FDA-approved location (ie, abdomen) and 10.2% (36/353) were in an unidentifiable location. There were no significant differences in the number of likes or comments based on US Food and Drug Administration (FDA) approval. Five themes emerged from the analysis of original posts (N=353) and corresponding comments (N=2364): (1) endorsement of CGM as providing a sense of well-being; (2) reciprocating information, encouragement, and support; (3) reciprocating CGM-related frustrations; (4) life hacks to optimize CGM use; and (5) sharing and learning about off-label CGM activity.

conclusionsOur results indicate that individuals successfully used CGM in off-label locations, posting photos of these areas with greater frequency than of the abdomen, with no indication of sensor failure. While these photographs only capture a snapshot in time, these posts can be used to inform providers and industry leaders of real-world trends in CGM use. Additionally, there were instances in which sensors were worn beyond the FDA-approved 7-day period; however, they represented the minority in this study.

Indexed as

continuous glucose monitoringdiabetesInstagramoff-label usephotosurveillancesocial media

Identifiers

PMID31127724
PMCPMC6555117

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.